# Staff Applied AI Researcher (Agentic Search)

**Company**: Nebius
**Location**: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4948471101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_49b63120-ae2

## Description

We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform, the web access layer for AI systems.

As a Staff Applied AI Researcher, you will have ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.

Responsibilities:

- Drive applied research and technical direction across retrieval and ranking systems

- Design and evolve multi-stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)

- Develop methods for grounding LLMs in real-time web data at scale

- Define and implement new evaluation paradigms and metrics for agentic systems

- Lead experimentation on modern retrieval approaches and bring them into production

- Analyze trade-offs across relevance, latency, and cost at scale

- Work closely with engineering to deploy systems in high-throughput, low-latency environments

- Own ambiguous problems end-to-end and contribute to product and research direction

- Mentor engineers and help raise the technical bar of the team

Requirements:

- 8+ years of experience in applied AI, ML, or software engineering

- Proven track record of shipping ML or AI systems to production at scale

- Deep experience with search, retrieval, ranking, recommendation systems, or assistants

- Strong understanding of modern deep learning, especially transformers and embeddings

- Experience with LLM-integrated or knowledge-intensive systems

- Experience designing evaluation frameworks and metrics for ML systems

- Strong programming skills in Python and at least one of Go, C++, or similar

- Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy

Nice to haves:

- Experience with large-scale search or recommendation systems

- Background in agentic AI systems (agents, tool use, autonomous workflows)

- Experience with RAG, multi-step retrieval, or tool use

- Publications, open source, or similar signals of technical depth and impact

Benefits & Perks:

- Competitive compensation

- Career growth and learning opportunities

- Flexibility and ownership

- Collaborative and innovative culture

- Opportunity to work on impactful AI projects

- International environment and talented teams

## Skills

### Required
- applied AI
- ML
- software engineering
- search
- retrieval
- ranking
- recommendation systems
- assistants
- deep learning
- transformers
- embeddings
- LLM-integrated systems
- evaluation frameworks
- metrics for ML systems
- Python
- Go
- C++

### Nice to have
- large-scale search
- agentic AI systems
- agents
- tool use
- autonomous workflows
- RAG
- multi-step retrieval
- publications
- open source

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4948471101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)